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Amazon Timestream

Posted on January 27, 2025March 23, 2025 by wpadmin

Amazon Timestream is a fully managed, serverless, and purpose-built time series database service offered by AWS. It is designed to handle trillions of time-stamped data points per day with minimal operational overhead. Time series databases are particularly well-suited for workloads such as IoT data, application monitoring, DevOps, and industrial telemetry, where data arrives in a sequential, time-stamped format.

Purpose-Built for Time Series Data:

Optimized for time series workloads, enabling efficient ingestion, storage, and querying of sequential data with time stamps.

Serverless Architecture:

Fully managed and serverless, meaning there is no need to manage servers, provision storage, or perform scaling. It automatically scales based on workload.

Data Lifecycle Management:

Allows you to specify data retention policies:

Memory Store for fast query access (e.g., recent data for analytics).

Magnetic Store for cost-effective storage of older, less frequently accessed data.

Built-in Analytics:

Provides SQL-like queries to analyze and process data in place, without the need for additional tools.

Supports advanced time-series analytics, such as smoothing, interpolation, and aggregations over time.

Seamless Integration:

Easily integrates with AWS services such as AWS IoT Core, Amazon Kinesis, AWS Lambda, Amazon QuickSight, and more.

High Performance:

Offers low-latency data writes and high-throughput reads, designed for applications that require near-real-time insights.

Scalable:

Dynamically scales to handle data volume changes without manual intervention.

Data Security:

Supports encryption at rest and in transit, ensuring that sensitive time series data is protected.

Integrates with AWS Identity and Access Management (IAM) for fine-grained access control.

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